blob: b913ad4b51208419551d214f9b72dfcc92671e06 [file]
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
#include "paimon/common/reader/reader_utils.h"
#include <cstdint>
#include <memory>
#include <string>
#include <utility>
#include <vector>
#include "arrow/api.h"
#include "arrow/array/array_base.h"
#include "arrow/c/abi.h"
#include "arrow/c/bridge.h"
#include "arrow/ipc/json_simple.h"
#include "gtest/gtest.h"
#include "paimon/common/utils/arrow/mem_utils.h"
#include "paimon/common/utils/checked_cast.h"
#include "paimon/status.h"
#include "paimon/testing/utils/read_result_collector.h"
#include "paimon/testing/utils/testharness.h"
#include "paimon/utils/roaring_bitmap32.h"
namespace paimon::test {
namespace {
class ErrorAfterOneBatchReader : public BatchReader {
public:
explicit ErrorAfterOneBatchReader(ReadBatch batch) : batch_(std::move(batch)) {}
Result<ReadBatch> NextBatch() override {
if (batch_.first) {
return std::move(batch_);
}
return Status::IOError("expected test error");
}
std::shared_ptr<Metrics> GetReaderMetrics() const override {
return nullptr;
}
void Close() override {}
private:
ReadBatch batch_;
};
} // namespace
TEST(ReaderUtilsTest, TestAddAllValidBitmap) {
auto check_result = [](const std::string& src_str) {
if (src_str.empty()) {
auto batch_with_bitmap = ReaderUtils::AddAllValidBitmap(BatchReader::MakeEofBatch());
ASSERT_TRUE(BatchReader::IsEofBatch(batch_with_bitmap));
auto& [_, bitmap] = batch_with_bitmap;
ASSERT_TRUE(bitmap.IsEmpty());
return;
}
auto array =
arrow::ipc::internal::json::ArrayFromJSON(arrow::int32(), src_str).ValueOrDie();
ASSERT_OK_AND_ASSIGN(auto batch, ReadResultCollector::GetReadBatch(array));
auto batch_with_bitmap = ReaderUtils::AddAllValidBitmap(std::move(batch));
auto& [c_batch, bitmap] = batch_with_bitmap;
ASSERT_OK_AND_ASSIGN(auto result_array, ReadResultCollector::GetArray(std::move(c_batch)));
ASSERT_EQ(bitmap.Cardinality(), result_array->length());
ASSERT_TRUE(result_array->Equals(array));
};
check_result("[0, 1, 2, 3, 4]");
check_result("[10, 20, 30]");
check_result("");
}
TEST(ReaderUtilsTest, TestCollectResultReleasesBufferedBatchesOnError) {
auto array = arrow::ipc::internal::json::ArrayFromJSON(arrow::int32(), "[1]").ValueOrDie();
ASSERT_OK_AND_ASSIGN(BatchReader::ReadBatch batch, ReadResultCollector::GetReadBatch(array));
std::shared_ptr<int32_t> lifetime = std::make_shared<int32_t>(1);
std::weak_ptr<int32_t> weak_lifetime = lifetime;
ASSERT_OK(AddArrowArrayLifetime(batch.first.get(), batch.second.get(), lifetime));
lifetime.reset();
auto reader = std::make_unique<ErrorAfterOneBatchReader>(std::move(batch));
ASSERT_NOK_WITH_MSG(ReadResultCollector::CollectResult(std::move(reader)),
"expected test error");
ASSERT_TRUE(weak_lifetime.expired());
}
TEST(ReaderUtilsTest, TestApplyBitmapToReadBatch) {
auto check_result = [](const std::string& src_str, const std::vector<int32_t>& bitmap_vec,
const std::string& target_str, const std::string& erro_msg = "") {
std::shared_ptr<arrow::MemoryPool> arrow_pool(arrow::default_memory_pool(),
[](arrow::MemoryPool*) {});
auto bitmap = RoaringBitmap32::From(bitmap_vec);
if (src_str.empty()) {
auto batch_with_bitmap = std::make_pair(BatchReader::MakeEofBatch(), std::move(bitmap));
ASSERT_OK_AND_ASSIGN(auto result_batch, ReaderUtils::ApplyBitmapToReadBatch(
std::move(batch_with_bitmap), arrow_pool));
ASSERT_TRUE(BatchReader::IsEofBatch(result_batch));
return;
}
auto src_array =
arrow::ipc::internal::json::ArrayFromJSON(arrow::int32(), src_str).ValueOrDie();
auto target_array =
arrow::ipc::internal::json::ArrayFromJSON(arrow::int32(), target_str).ValueOrDie();
ASSERT_OK_AND_ASSIGN(auto src_batch, ReadResultCollector::GetReadBatch(src_array));
auto batch_with_bitmap = std::make_pair(std::move(src_batch), std::move(bitmap));
if (!erro_msg.empty()) {
ASSERT_NOK_WITH_MSG(
ReaderUtils::ApplyBitmapToReadBatch(std::move(batch_with_bitmap), arrow_pool),
erro_msg);
return;
}
ASSERT_OK_AND_ASSIGN(auto result_batch, ReaderUtils::ApplyBitmapToReadBatch(
std::move(batch_with_bitmap), arrow_pool));
ASSERT_OK_AND_ASSIGN(auto result_array,
ReadResultCollector::GetArray(std::move(result_batch)));
ASSERT_TRUE(result_array->Equals(target_array));
};
check_result("[10, 11, 12, 13, 14]", {1}, "[11]");
check_result("[10, 11, 12, 13, 14]", {0, 1}, "[10, 11]");
check_result("[10, 11, 12, 13, 14]", {2, 4}, "[12, 14]");
check_result("[10, 11, 12, 13, 14]", {2, 3}, "[12, 13]");
check_result("[10, 11, 12, 13, 14]", {0, 1, 3, 4}, "[10, 11, 13, 14]");
check_result("[10, 11, 12, 13, 14]", {0, 1, 2, 3, 4}, "[10, 11, 12, 13, 14]");
// eof batch
check_result("", {}, "");
// bitmap is empty, invalid
check_result("[10, 11, 12, 13, 14]", {}, "[]",
"NextBatchWithBitmap should always return the result with at least one valid row "
"except eof");
}
TEST(ReaderUtilsTest, TestApplyBitmapToReadBatchKeepsDictionaryEncoding) {
// A deletion vector on an append table routes the Parquet dictionary passthrough through here:
// ParquetFileBatchReader reports SupportPreciseBitmapSelection() == false, so RawFileSplitRead
// wraps it and the surviving rows are cut out by slicing and concatenating. The encoding
// survives that only because every slice shares one dictionary and arrow::Concatenate has a
// fast path for it; if it ever unified or densified instead, a compaction with deletion
// vectors would quietly stop forwarding the encoding the rewrite asked for.
auto dictionary_type = arrow::dictionary(arrow::int32(), arrow::utf8());
auto make_encoded = [&dictionary_type](const std::string& indices_json) {
return arrow::DictionaryArray::FromArrays(
dictionary_type,
arrow::ipc::internal::json::ArrayFromJSON(arrow::int32(), indices_json)
.ValueOrDie(),
arrow::ipc::internal::json::ArrayFromJSON(arrow::utf8(), R"(["a", "b"])")
.ValueOrDie())
.ValueOrDie();
};
std::shared_ptr<arrow::Array> ids =
arrow::ipc::internal::json::ArrayFromJSON(arrow::int32(), "[0, 1, 2, 3, 4]").ValueOrDie();
auto src_array = arrow::StructArray::Make({make_encoded("[0, 1, 0, 1, 0]"), ids},
std::vector<std::string>{"s", "id"})
.ValueOrDie();
ASSERT_OK_AND_ASSIGN(auto src_batch, ReadResultCollector::GetReadBatch(src_array));
// Two disjoint runs, so the filter has to concatenate rather than hand back a single slice.
auto batch_with_bitmap =
std::make_pair(std::move(src_batch), RoaringBitmap32::From(std::vector<int32_t>{0, 1, 4}));
std::shared_ptr<arrow::MemoryPool> arrow_pool(arrow::default_memory_pool(),
[](arrow::MemoryPool*) {});
ASSERT_OK_AND_ASSIGN(auto result_batch, ReaderUtils::ApplyBitmapToReadBatch(
std::move(batch_with_bitmap), arrow_pool));
// Imported directly rather than through ReadResultCollector::GetArray, which decodes
// dictionaries on the way out and would hide the very thing being asserted.
auto& [c_array, c_schema] = result_batch;
std::shared_ptr<arrow::Array> result =
arrow::ImportArray(c_array.get(), c_schema.get()).ValueOrDie();
ASSERT_EQ(3, result->length());
auto result_struct = checked_pointer_cast<arrow::StructArray>(result);
ASSERT_EQ(arrow::Type::DICTIONARY, result_struct->field(0)->type()->id());
ASSERT_TRUE(result_struct->field(0)->Equals(*make_encoded("[0, 1, 0]")))
<< "actual=" << result_struct->field(0)->ToString();
std::shared_ptr<arrow::Array> expected_ids =
arrow::ipc::internal::json::ArrayFromJSON(arrow::int32(), "[0, 1, 4]").ValueOrDie();
ASSERT_TRUE(result_struct->field(1)->Equals(*expected_ids));
}
} // namespace paimon::test